Research Progress in Metabolomics for HCC Diagnosis and Treatment

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors. It is characterized by high morbidity and mortality. Therefore, early detection, early diagnosis and early treatment are very important. Sensitive and convenient serological biomarkers play a key role in the diagnosis and treatment of HCC. However, traditional biomarkers such as alpha-fetoprotein fall far short of the clinical needs. Liver is an important organ of metabolism in the body. The occurrence and development of HCC are closely related to metabolism. Metabolomics is a newly developed subject. It has certain advantages in the screening diagnosis, mechanism exploration, precise treatment, prognosis judgment and efficacy evaluation of HCC. As an important part of systems biology, metabolomics technology can screen differentially expressed metabolites in the tissues, blood and urine of HCC patients. On the one hand, these metabolites can be used as biomarkers for early diagnosis and prognosis evaluation of HCC. On the other hand, these metabolites can also clarify the metabolic mechanism in the development and progression of HCC, which can be used to develop new drugs and new targets for the treatment of HCC. This article reviews the research progress of metabolomics in the diagnosis and treatment of HCC, in order to provide a theoretical basis for the screening of HCC biological diagnostic markers and potential therapeutic targets.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-03-01
DOI
https://doi.org/10.12114/j.issn.1007-9572.2024.0410
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research Progress in Metabolomics for HCC Diagnosis and Treatment

SHILAP Revista de lepidopterología
Mycorrhizal Fungi and Plant Interactions
article

Research Progress in Metabolomics for HCC Diagnosis and Treatment

article en

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors. It is characterized by high morbidity and mortality. Therefore, early detection, early diagnosis and early treatment are very important. Sensitive and convenient serological biomarkers play a key role in the diagnosis and treatment of HCC. However, traditional biomarkers such as alpha-fetoprotein fall far short of the clinical needs. Liver is an important organ of metabolism in the body. The occurrence and development of HCC are closely related to metabolism. Metabolomics is a newly developed subject. It has certain advantages in the screening diagnosis, mechanism exploration, precise treatment, prognosis judgment and efficacy evaluation of HCC. As an important part of systems biology, metabolomics technology can screen differentially expressed metabolites in the tissues, blood and urine of HCC patients. On the one hand, these metabolites can be used as biomarkers for early diagnosis and prognosis evaluation of HCC. On the other hand, these metabolites can also clarify the metabolic mechanism in the development and progression of HCC, which can be used to develop new drugs and new targets for the treatment of HCC. This article reviews the research progress of metabolomics in the diagnosis and treatment of HCC, in order to provide a theoretical basis for the screening of HCC biological diagnostic markers and potential therapeutic targets.

SHILAP Revista de lepidopterología
Hebei Medical University (CN), Third Hospital of Hebei Medical University (CN)
Good health and well-being
Openalex Percentile: Top 56%
Mycorrhizal Fungi and Plant Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research Progress in Metabolomics for HCC Diagnosis and Treatment · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS